METE463 SPECIAL TOPICS: APPLIED COMPUTATIONAL THERMODYNAMICS AND KINETICS OF MATERIALS

Course Code:5700463
METU Credit (Theoretical-Laboratory hours/week):3 (2.00 - 2.00)
ECTS Credit:5.0
Department:Metallurgical and Materials Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:
Offered Semester:Fall and Spring Semesters.

Course Objectives

Course objectives are the followings:

1. After successfully completing this course the students will be able to understand the basic principles of the computational thermodynamics and kinetics in materials science and engineering.

2. The students will know and be able to identify the correct models and methods to investigate the microstructure evolution during materials processing.

3. Student will comprehend how they can design the chemistry and the processing of materials to obtain desired microstructure.


Course Content

Basics of the computational thermodynamics of single and multi-component systems. Calculation of Phase Diagrams (CALPHAD) approach. Simulation of solidification processes in multi-component systems (SCHEIL Method). Simulation of diffusion in single and multi-phase and multi-component systems. Mean-field simulation of precipitation reactions (Langer-Schwartz-Wagner-Kampmann Approach)


Course Learning Outcomes

This course addresses the following ABET outcomes:

(a) An ability to apply knowledge of mathematics, science and engineering;

(c) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability;

(k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice;

and, additionally, the following department-specific Student Outcomes

(l) A knowledge of the scientific and engineering principles underlying the four

major elements of the field; structure, properties, processing and performance

related to material systems.

(m) An ability to apply and integrate knowledge from each of the four major elements of the field to solve materials and/or process selection and design problems.


Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3An ability to communicate effectively with a range of audiences
4An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
8Knowledge of the scientific and engineering principles underlying the four major elements of the field; structure, properties, processing and performance related to material systems
9An ability to apply and integrate knowledge from each of the four major elements of the field to solve materials and/or process selection and design problems